QRS Complex Duration Detection Using Isoelectric Amplitude Deviation
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Solution Overview
Problem
Current medical devices face challenges in accurately monitoring and determining the duration of the QRS complex, which is crucial for identifying cardiac health and determining the need for cardiac resynchronization therapy, due to difficulties in implementing device recognition of the QRS complex.
Innovation Solution
A system and method that include a cardiac signal sensing circuit and a processor circuit to identify the Q time, S time, and determine the time duration of the QRS complex by analyzing the cardiac signal segment, using techniques such as identifying amplitude deviations and calculating derivatives, to accurately measure the QRS complex duration and detect bundle branch blocks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If device recognition of QRS complex is implemented using conventional methods, then the device can monitor cardiac activity, but the accuracy of QRS complex duration measurement is insufficient
Solution Approach 1:
The QRS complex detection is divided into distinct segments: Q wave detection (identifying negative deflection from isoelectric line), R wave detection (identifying positive peak), and S wave detection (identifying negative deflection after R wave). Each segment is processed independently with specific algorithms tailored to its characteristics, improving overall measurement precision while managing complexity through modular processing
Solution Approach 2:
The system dynamically adjusts detection parameters including threshold values for amplitude deviation, time windows for wave identification, and sensitivity settings based on the detected signal characteristics. This allows the device to adapt to varying patient conditions and signal quality, maintaining high measurement accuracy across different scenarios
2Measurement precision
If conventional QRS detection methods are used, then the device structure remains simple, but the ability to accurately identify Q time and S time is limited
Solution Approach 1:
The system introduces an intermediary processing stage that analyzes the derivative of the cardiac signal and compares it against predefined wave morphology templates. This intermediary analysis layer bridges the gap between simple signal acquisition and accurate QRS complex identification, enabling precise Q and S time detection without requiring overly complex direct measurement methods
Solution Approach 2:
The device performs preliminary signal conditioning and preprocessing steps including filtering, baseline correction, and amplitude normalization before attempting QRS complex detection. This preliminary preparation of the signal reduces the complexity of subsequent detection steps and improves the accuracy of Q and S time identification by presenting cleaner, more standardized waveforms to the detection algorithms
Data Source
AI summary
A system comprises a cardiac signal sensing circuit and a processor circuit. To detect a QRS duration, the processor circuit determines an isoelectric amplitude value of the cardiac signal segment, identifies a time where the cardiac signal segment amplitude deviates from the first isoelectric amplitude value by a specified threshold deviation value as a Q time, determines an isoelectric value time after the determined maxima and minima times that the cardiac signal segment returns to the same or a different isoelectric amplitude value, identifies a time that follows both the determined maxima and minima times and precedes the isoelectric value time as an S time, wherein the cardiac signal segment amplitude at the identified S time satisfies a specified amplitude change criterion from an isoelectric amplitude value, and determines a time duration of the QRS complex in the cardiac signal segment using the identified Q and S times.